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Inverse probability weighting

Abstract:
Statistical analysis usually treats all observations as equally important. In some circumstances, however, it is appropriate to vary the weight given to different observations. Well-known examples are in meta-analysis, where the inverse-variance (precision) weight given to each contributing study varies, and in the analysis of clustered data.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1136/bmj.i189

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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
Publisher:
BMJ Publishing Group
Journal:
BMJ More from this journal
Volume:
352
Pages:
i189
Publication date:
2016-01-15
Acceptance date:
2016-01-05
DOI:
EISSN:
1756-1833
ISSN:
0959-8138
Language:
English
Pubs id:
pubs:598209
UUID:
uuid:d32dd627-9db4-42a1-9e26-edbec74ad81f
Local pid:
pubs:598209
Source identifiers:
598209
Deposit date:
2016-03-14

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